Mark Ambrose

1.1k total citations
20 papers, 906 citations indexed

About

Mark Ambrose is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Mark Ambrose has authored 20 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Organic Chemistry. Recurrent topics in Mark Ambrose's work include DNA Repair Mechanisms (7 papers), Bacterial Genetics and Biotechnology (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Mark Ambrose is often cited by papers focused on DNA Repair Mechanisms (7 papers), Bacterial Genetics and Biotechnology (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Mark Ambrose collaborates with scholars based in Australia, United States and New Zealand. Mark Ambrose's co-authors include Richard A. Gatti, Jimena Goldstine, Marija Gizdavic‐Nikolaidis, Allan J. Easteal, Simon Swift, Leona D. Samson, Richard B. Roth, S. Perwez Hussain, Irit Zurer and Curtis C. Harris and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Mark Ambrose

20 papers receiving 892 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Ambrose Australia 12 459 133 131 125 120 20 906
Jianhai Chen China 22 431 0.9× 197 1.5× 135 1.0× 247 2.0× 66 0.6× 113 1.6k
Michel Baron France 17 623 1.4× 143 1.1× 57 0.4× 133 1.1× 153 1.3× 31 1.2k
Bing Kan China 21 468 1.0× 85 0.6× 90 0.7× 26 0.2× 201 1.7× 46 1.2k
Pengbo Guo China 16 821 1.8× 28 0.2× 260 2.0× 165 1.3× 133 1.1× 41 1.3k
Hua Xin China 11 504 1.1× 39 0.3× 122 0.9× 249 2.0× 48 0.4× 42 959
Catherine Yao United States 12 954 2.1× 60 0.5× 65 0.5× 87 0.7× 176 1.5× 18 1.6k
Tomoko Ito Japan 18 791 1.7× 52 0.4× 102 0.8× 28 0.2× 109 0.9× 47 1.2k
Ge Jiang China 18 580 1.3× 47 0.4× 50 0.4× 68 0.5× 48 0.4× 27 1.4k
Xiaodong Qi United States 23 1.6k 3.5× 30 0.2× 141 1.1× 97 0.8× 100 0.8× 58 2.6k

Countries citing papers authored by Mark Ambrose

Since Specialization
Citations

This map shows the geographic impact of Mark Ambrose's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Ambrose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Ambrose more than expected).

Fields of papers citing papers by Mark Ambrose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Ambrose. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Ambrose. The network helps show where Mark Ambrose may publish in the future.

Co-authorship network of co-authors of Mark Ambrose

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Ambrose. A scholar is included among the top collaborators of Mark Ambrose based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Ambrose. Mark Ambrose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fahey, D, et al.. (2023). DinB (DNA polymerase IV), ImuBC and RpoS contribute to the generation of ciprofloxacin-resistance mutations in Pseudomonas aeruginosa. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 827. 111836–111836. 3 indexed citations
2.
Taberlay, Phillippa C., Adele F. Holloway, Mark Ambrose, et al.. (2019). DNA methylation changes following DNA damage in prostate cancer cells. Epigenetics. 14(10). 989–1002. 19 indexed citations
3.
See-Too, Wah-Seng, Mark Ambrose, Robson Ee, et al.. (2019). Pandoraea fibrosis sp. nov., a novel Pandoraea species isolated from clinical respiratory samples. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 69(3). 645–651. 13 indexed citations
4.
Ambrose, Mark, Joanne Pagnon, Damien N. Stringer, et al.. (2019). Pathway Analysis of Fucoidan Activity Using a Yeast Gene Deletion Library Screen. Marine Drugs. 17(1). 54–54. 10 indexed citations
6.
Ambrose, Mark, et al.. (2016). Pandoraea pnomenusa Isolated from an Australian Patient with Cystic Fibrosis. Frontiers in Microbiology. 7. 692–692. 12 indexed citations
7.
Gizdavic‐Nikolaidis, Marija, et al.. (2015). Functionalized polyanilines disrupt Pseudomonas aeruginosa and Staphylococcus aureus biofilms. Colloids and Surfaces B Biointerfaces. 136. 666–673. 26 indexed citations
8.
Ee, Robson, Mark Ambrose, James Lazenby, et al.. (2015). Genome Sequences of Two Pandoraea pnomenusa Isolates Recovered 11 Months Apart from a Cystic Fibrosis Patient. Genome Announcements. 3(1). 11 indexed citations
9.
Ambrose, Mark & Richard A. Gatti. (2013). Pathogenesis of ataxia-telangiectasia: the next generation of ATM functions. Blood. 121(20). 4036–4045. 146 indexed citations
10.
Gizdavic‐Nikolaidis, Marija, et al.. (2011). Broad spectrum antimicrobial activity of functionalized polyanilines. Acta Biomaterialia. 7(12). 4204–4209. 178 indexed citations
11.
MacPhee, D.G. & Mark Ambrose. (2010). Catabolite repression of SOS-dependent and SOS-independent spontaneous mutagenesis in stationary-phase Escherichia coli. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 686(1-2). 84–89. 5 indexed citations
12.
Ambrose, Mark, Jimena Goldstine, & Richard A. Gatti. (2007). Intrinsic mitochondrial dysfunction in ATM-deficient lymphoblastoid cells. Human Molecular Genetics. 16(18). 2154–2164. 135 indexed citations
13.
Rusyn, Ivan, Rebecca C. Fry, Thomas J. Begley, et al.. (2007). Transcriptional Networks in S. cerevisiae Linked to an Accumulation of Base Excision Repair Intermediates. PLoS ONE. 2(11). e1252–e1252. 13 indexed citations
14.
Hofseth, Lorne J., Mohammed Abdul Sattar Khan, Mark Ambrose, et al.. (2003). The adaptive imbalance in base excision–repair enzymes generates microsatellite instability in chronic inflammation. Journal of Clinical Investigation. 112(12). 1887–1894. 18 indexed citations
15.
Hofseth, Lorne J., Khan Ma, Mark Ambrose, et al.. (2003). The adaptive imbalance in base excision–repair enzymes generates microsatellite instability in chronic inflammation. Journal of Clinical Investigation. 112(12). 1887–1894. 170 indexed citations
16.
Ambrose, Mark & D.G. MacPhee. (1998). Glucose and related catabolite repressors are powerful inhibitors of pKM101-enhanced UV mutagenesis in Escherichia coli. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 422(1). 107–112. 5 indexed citations
17.
Ambrose, Mark & D.G. MacPhee. (1998). Catabolite repressors are potent antimutagens in Escherichia coli plate incorporation assays: experiments with glucose, glucose-6-phosphate and methyl-α-d-glucopyranoside. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 398(1-2). 175–182. 9 indexed citations
18.
MacPhee, Donald G. & Mark Ambrose. (1996). Spontaneous mutations in bacteria: chance or necessity?. Genetica. 97(1). 87–101. 7 indexed citations
19.
Hosono, Seiyu, Wilson Wang, Mark Ambrose, et al.. (1995). Core Antigen Mutations of Human Hepatitis B Virus in Hepatomas Accumulate in MHC Class II-Restricted T Cell Epitopes. Virology. 212(1). 151–162. 70 indexed citations
20.
Ambrose, Mark, et al.. (1995). Molecular Evolution of the F Glycoprotein of Human Parainfluenza Virus Type 1. The Journal of Infectious Diseases. 171(4). 851–856. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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